Selective Detection of Target Volatile Organic Compounds in Contaminated Air Using Sensor Array with Machine Learning: Aging Notes and Mold Smells in Simulated Automobile Interior Contaminant Gases
We investigated the selective detection of target volatile organic compounds (VOCs) which are age-related body odors (namely, 2-nonenal, pelargonic acid, and diacetyl) and a fungal odor (namely, acetic acid) in the presence of interference VOCs from car interiors (namely, <i>n</i>-decane...
Main Authors: | Toshio Itoh, Yutaro Koyama, Woosuck Shin, Takafumi Akamatsu, Akihiro Tsuruta, Yoshitake Masuda, Kazuhisa Uchiyama |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-05-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/9/2687 |
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